Data Engineer-Data Platforms-Google
IBM · Posted Nov 6
Hybrid cloud, artificial intelligence, enterprise software, quantum computing, and IT consulting services
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About the role
IBM Consulting works with leading companies across industries to shape their hybrid cloud and AI journeys, supported by IBM technology, Red Hat, and strategic partners. This role sits in data engineering, focused on Google Cloud data platforms including DataProc, DataFlow, PubSub, BigQuery, BigTable, Cloud Spanner, CloudSQL, and AlloyDB. The Data Engineer will design, build, and maintain batch and real-time data pipelines, handle data migration for data warehouses and data lakes, and schedule and optimize the data platform using Cloud Scheduler and Cloud Composer (Airflow).
What you will do
- Design Data Pipelines: Design and build data engineering solutions using Google services such as DataProc, DataFlow, PubSub, BigQuery, Big Table, Cloud Spanner, CloudSQL, and AlloyDB for batch and real-time data processing.
- Develop Data Migration: Develop and manage batch and real-time data pipelines for Data Warehouse and Datalake, ensuring efficient data migration and integration.
- Manage Data Platform: Schedule and manage the data platform using Google Cloud Scheduler and Cloud Composer (Airflow), ensuring seamless data workflow and pipeline management.
- Implement Data Solutions: Implement data engineering solutions using Google Cloud Storage, BigTable, BigQuery DataProc with Spark and Hadoop, Google DataFlow with Apache Beam or Python, and other open-source technologies.
- Optimize Data Pipelines: Optimize and maintain data pipelines for efficiency, scalability, and reliability, ensuring high-quality data output.
Skills used in this role
What the employer is looking for
- Exposure to Google Cloud Ecosystem: Familiarity with designing, building, and maintaining data engineering solutions on Google's Cloud ecosystem, including services such as Google DataProc, DataFlow, PubSub, BigQuery, Big Table, Cloud Spanner, CloudSQL, and AlloyDB.
- Experience working with Data Pipelines: Knowledge of developing and managing batch and real-time data pipelines for Data Warehouse and Datalake, including data migration and integration.
- Exposure to Open-Source Technologies: Familiarity with using Google Cloud Storage, BigTable, BigQuery DataProc with Spark and Hadoop, Google DataFlow with Apache Beam or Python, and other open-source technologies like Apache Airflow, dbt, Spark/Python, or Spark/Scala.
- Experience working with Data Platform Management: Understanding of scheduling and managing the data platform using Google Cloud Scheduler and Cloud Composer (Airflow).
- Exposure to Data Engineering Solutions: Familiarity with implementing data engineering solutions using various Google services and open-source technologies.
- Proficiency in Apache Airflow: Experience working with Apache Airflow for scheduling and managing data pipelines is beneficial. Familiarity with Cloud Composer (Airflow) is also desirable.
- Knowledge of dbt: Exposure to dbt and its application in data engineering solutions is advantageous.
- Familiarity with Spark/Scala: Experience working with Spark/Scala is beneficial for developing and managing data pipelines.
Benefits and support
- Compensation and benefits are detailed in the job posting
About IBM
International Business Machines Corporation (IBM) is a global technology and consulting company that provides hybrid cloud, artificial intelligence, and enterprise infrastructure solutions. Operating in over 175 countries, IBM helps businesses across industries modernize operations, secure data, and drive digital transformation through platforms like watsonx and Red Hat OpenShift. Founded over a century ago, the company remains a pioneer in high-performance computing, enterprise automation, and quantum technology.
- Industry
- Information Technology
- Company size
- 260,000+ employees
- Founded
- June 16, 1911
- Location
- Armonk, New York, USA
- Funding stage
- Public Company
Funding
Public Company · $3.5B raised
- ·Post Ipo Debt$150M
Leadership
Chairman, President and Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President, Software and Chief Commercial Officer
Senior Vice President, IBM Consulting
Senior Vice President, Marketing and Communications
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